Triple
T17852466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Antonio Guerrero |
E445842
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Señorita 89 |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Señorita 89 | Statement: [Jorge Antonio Guerrero, workedOn, Señorita 89]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Señorita 89 Context triple: [Jorge Antonio Guerrero, workedOn, Señorita 89]
-
A.
Señorita 89
chosen
Señorita 89 is a Mexican thriller drama television series that explores the dark underbelly of beauty pageants and power in Latin America.
-
B.
Señorita
"Señorita" is a 2019 Latin-influenced pop duet by Camila Cabello and Shawn Mendes that became a global hit for its sultry melody and romantic theme.
-
C.
Senorita
"Señorita" is a song featured on the album "No Way Out," known for its smooth blend of R&B and hip-hop influences.
-
D.
Senorita
"Señorita" is a dark, atmospheric hip-hop track by Vince Staples known for its menacing production and commentary on violence and survival.
-
E.
Señora bonita
"Señora bonita" is a well-known work by Mexican journalist and author María Antonieta Collins, recognized for its focus on women’s experiences and personal empowerment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4900113f881908859f212c6ca3d9b |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:17 a.m.